Before recommendation engines told us what to want, people developed authentic preferences through trial and error—and ...
Abstract: Quantum computers are gaining importance in various applications like quantum machine learning and quantum signal processing. These applications face significant challenges in loading ...
Abstract: Sensor-based cattle monitoring is a growing field within precision livestock farming, where machine learning algorithms are used to detect health issues, monitor behavior, and improve ...
ABSTRACT: We introduce in this paper MIES-TR, an intelligent model for real-time syllable boundary detection during keyboard typing. This innovative approach positions the syllable as an intermediate ...
When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.
A new resource has been launched by Demystify Biometrics to apply its mission of increasing transparency to governments, enterprises, analysts and investors around biometric performance to the ...
ABSTRACT: This article examines some of the properties of quasi-Fejer sequences when used in quasi-gradiental techniques as an alternative to stochastic search techniques for optimizing unconstrained ...
You open YouTube Shorts while waiting for your coffee. A couple of videos, you think. Thirty minutes later, you're still scrolling. The brain is buzzing, time is gone. YouTube Shorts isn't just a ...
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